1 code implementation • 20 Sep 2017 • Andres Milioto, Philipp Lottes, Cyrill Stachniss
Precision farming robots, which target to reduce the amount of herbicides that need to be brought out in the fields, must have the ability to identify crops and weeds in real time to trigger weeding actions.
no code implementations • 9 Jun 2018 • Philipp Lottes, Jens Behley, Andres Milioto, Cyrill Stachniss
Exploiting the crop arrangement information that is observable from the image sequences enables our system to robustly estimate a pixel-wise labeling of the images into crop and weed, i. e., a semantic segmentation.
no code implementations • 9 Jun 2018 • Philipp Lottes, Jens Behley, Nived Chebrolu, Andres Milioto, Cyrill Stachniss
It outputs the stem location for weeds, which allows for mechanical treatments, and the covered area of the weed for selective spraying.
1 code implementation • 6 May 2019 • Emanuele Palazzolo, Jens Behley, Philipp Lottes, Philippe Giguère, Cyrill Stachniss
For localization and mapping, we employ an efficient direct tracking on the truncated signed distance function (TSDF) and leverage color information encoded in the TSDF to estimate the pose of the sensor.
Robotics